... | @@ -13,19 +13,19 @@ from the [CMIP6](https://esgf-node.llnl.gov/search/cmip6/) historical runs (data |
... | @@ -13,19 +13,19 @@ from the [CMIP6](https://esgf-node.llnl.gov/search/cmip6/) historical runs (data |
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Fig. 1: Time series of Arctic sea-ice area in (a) March and (b) September for historical runs. The thick dashed black curve is the multi-model mean and the thick solid black curve is the OSI-450 satellite dataset. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1: Time series of Arctic sea-ice area in (a) March and (b) September for historical runs. The thick dashed black curve is the multi-model mean and the thick solid black curve is the OSI-450 satellite dataset. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1b: Time series of Arctic sea-ice area in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1b: Time series of Arctic sea-ice area in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1c: Time series of Arctic sea-ice area in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1c: Time series of Arctic sea-ice area in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 2: Time series of Arctic sea-ice volume in (a) March and (b) September for historical runs. The thick dashed black curve is the multi-model mean and the thick solid black curve is the PIOMAS reanalysis dataset. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2: Time series of Arctic sea-ice volume in (a) March and (b) September for historical runs. The thick dashed black curve is the multi-model mean and the thick solid black curve is the PIOMAS reanalysis dataset. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2b: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2b: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2c: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2c: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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